gopal_2021_cas

6,750 responses from 1,350 respondents to 5 items.

About this table

Description	Coronavirus Anxiety Scale (5 items, 0-4) for 1,350 internal migrant workers across India, telephone interviews June-August 2020.
Reference	Raghavendra, N. K., Gopal, S., & Munuswamy, J. (2021). Data set on impact of COVID-19 on mental health of internal migrant workers in India: Corona Virus Anxiety Scale (CAS) approach. Data in Brief, 36, 107052. https://doi.org/10.1016/j.dib.2021.107052
DOI	10.1016/j.dib.2021.107052
Licence	CC BY 4.0
Source data	https://data.mendeley.com/datasets/fkgf3fwnpz

Size and shape

Responses	6,750
Respondents	1,350
Items	5
Response categories	5
Responses per respondent	5
Responses per item	1,350
Density	1
Longitudinal	FALSE

Classification

sample	Targeted/specific
construct type	Affective/mental health
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
construct name	Coronavirus anxiety (CAS)

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

Instrument	Coronavirus Anxiety Scale (CAS, Lee 2020), interview-schedule wording of Raghavendra, Gopal & Munuswamy (2021)
Mean words per item	13.200
Mean characters per item	79.400
Mean characters per response	18.600
Flesch-Kincaid grade level	9.761

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, gopal_2021_cas.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

Column	What it is	Source column
IRW standard columns
`id`	IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).	made in the build script
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
Respondent covariates
`cov_age_group`	Covariate	`Age`
`cov_education`	Covariate	`Education`
`cov_gender`	Covariate	`Gender`
`cov_income`	Covariate	`Income`
`cov_marital`	Covariate	`Maritalstatus`

What item codes and covariate values stand for is in the source’s codebook, file_downloaded.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gopal_2021_cas")

# Python
pip install irw

import irw
df = irw.fetch("gopal_2021_cas")

How to cite

@article{Raghavendra_2021, title={Data set on impact of COVID-19 on mental health of internal migrant workers in India: Corona Virus Anxiety Scale (CAS) approach}, volume={36}, ISSN={2352-3409}, url={http://dx.doi.org/10.1016/j.dib.2021.107052}, DOI={10.1016/j.dib.2021.107052}, journal={Data in Brief}, publisher={Elsevier BV}, author={Raghavendra, Naveen Kumara and Gopal, Suresh and Munuswamy, Jothi}, year={2021}, month=June, pages={107052} }

Version and provenance

IRW version	v584
Redivis dataset	item_response_warehouse_6 v5.11
Redivis dataset DOI	10.57761/qahq-j855
Manifest pin for this IRW version	v5.11
Metadata source	irw_meta v44.0